10587951 30495 Laurens Krudde 37 Supervised Classification 19154 sklearn.neighbors._classification.KNeighborsClassifier(13) 8304054 Python_3.7.14. Sklearn_1.0.2. NumPy_1.21.6. SciPy_1.7.3. algorithm "auto" 19154 leaf_size 30 19154 metric "minkowski" 19154 metric_params null 19154 n_jobs null 19154 n_neighbors 11 19154 p 2 19154 weights "uniform" 19154 openml-python Sklearn_1.0.2. 37 diabetes https://www.openml.org/data/download/37/dataset_37_diabetes.arff -1 22103469 description https://api.openml.org/data/download/22103469/description.xml -1 22103470 predictions https://api.openml.org/data/download/22103470/predictions.arff area_under_roc_curve 0.7874328358208955 [0.787433,0.787433] average_cost 0 f_measure 0.7369197927470248 [0.811843,0.597137] kappa 0.41151943242990946 kb_relative_information_score 0.27550922576695946 mean_absolute_error 0.33084753787878907 mean_prior_absolute_error 0.4544913419913401 weighted_recall 0.7434895833333334 [0.85,0.544776] number_of_instances 768 [500,268] precision 0.7363703206989447 [0.776965,0.660633] predictive_accuracy 0.7434895833333333 prior_entropy 0.9331348051619819 relative_absolute_error 0.7279512441957432 root_mean_prior_squared_error 0.4766409223329586 root_mean_squared_error 0.4183634528136244 root_relative_squared_error 0.8777329709037773 total_cost 0 unweighted_recall 0.6973880597014925 [0.85,0.544776] area_under_roc_curve 0.8429629629629629 [0.842963,0.842963] area_under_roc_curve 0.7644444444444445 [0.764444,0.764444] area_under_roc_curve 0.8366666666666667 [0.836667,0.836667] area_under_roc_curve 0.7459259259259259 [0.745926,0.745926] area_under_roc_curve 0.7662962962962963 [0.766296,0.766296] area_under_roc_curve 0.8133333333333334 [0.813333,0.813333] area_under_roc_curve 0.7844444444444445 [0.784444,0.784444] area_under_roc_curve 0.8088888888888889 [0.808889,0.808889] area_under_roc_curve 0.7692307692307693 [0.769231,0.769231] area_under_roc_curve 0.7761538461538461 [0.776154,0.776154] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 f_measure 0.7521404431548276 [0.811881,0.641509] f_measure 0.688825590794173 [0.785047,0.510638] f_measure 0.7495827986975903 [0.815534,0.627451] f_measure 0.7059025198560083 [0.810811,0.511628] f_measure 0.7272936403371186 [0.814815,0.565217] f_measure 0.7801128164764528 [0.828283,0.690909] f_measure 0.7112593828190158 [0.807339,0.533333] f_measure 0.7818349122696949 [0.851852,0.652174] f_measure 0.719249580261333 [0.796117,0.571429] f_measure 0.7390301149699646 [0.795918,0.62963] kappa 0.4534927157265597 kappa 0.302481291847184 kappa 0.4439376662865831 kappa 0.33919084593379656 kappa 0.3879173290937998 kappa 0.519280205655527 kappa 0.35138387484957884 kappa 0.5103338632750399 kappa 0.3686708860759495 kappa 0.4259818731117823 kb_relative_information_score 0.3448949638575359 kb_relative_information_score 0.25380199059095593 kb_relative_information_score 0.3023370079790741 kb_relative_information_score 0.23448476109317212 kb_relative_information_score 0.23322378674088462 kb_relative_information_score 0.2598253480992589 kb_relative_information_score 0.2898924376058666 kb_relative_information_score 0.2919089601115778 kb_relative_information_score 0.2754421330918366 kb_relative_information_score 0.26914528784979025 mean_absolute_error 0.30224321133412047 mean_absolute_error 0.3353010625737899 mean_absolute_error 0.32231404958677695 mean_absolute_error 0.34710743801652894 mean_absolute_error 0.3530106257378985 mean_absolute_error 0.33884297520661144 mean_absolute_error 0.32113341204250295 mean_absolute_error 0.33293978748524206 mean_absolute_error 0.32416267942583743 mean_absolute_error 0.33133971291866043 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.45242652084757423 mean_prior_absolute_error 0.45242652084757423 number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 76 [50,26] number_of_instances 76 [50,26] precision 0.7512977218859571 [0.803922,0.653846] precision 0.6888585099111415 [0.736842,0.6] precision 0.7483459936290124 [0.792453,0.666667] precision 0.7201005961251863 [0.737705,0.6875] precision 0.7325288141985057 [0.758621,0.684211] precision 0.7812748476013783 [0.836735,0.678571] precision 0.7180277349768875 [0.745763,0.666667] precision 0.7918306738633417 [0.793103,0.789474] precision 0.7171754242044818 [0.773585,0.608696] precision 0.7422462406015038 [0.8125,0.607143] predictive_accuracy 0.7532467532467533 predictive_accuracy 0.7012987012987013 predictive_accuracy 0.7532467532467533 predictive_accuracy 0.7272727272727273 predictive_accuracy 0.7402597402597402 predictive_accuracy 0.7792207792207791 predictive_accuracy 0.7272727272727273 predictive_accuracy 0.7922077922077922 predictive_accuracy 0.7236842105263157 predictive_accuracy 0.736842105263158 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9269862002370954 prior_entropy 0.9269862002370954 relative_absolute_error 0.6642695629610401 relative_absolute_error 0.7369240464099039 relative_absolute_error 0.7083812136264217 relative_absolute_error 0.7628720762130695 relative_absolute_error 0.7758460911146523 relative_absolute_error 0.7447084553508532 relative_absolute_error 0.705786410646105 relative_absolute_error 0.7317344404492707 relative_absolute_error 0.7164979604169806 relative_absolute_error 0.7323613838948474 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4744699650121647 root_mean_prior_squared_error 0.4744699650121647 root_mean_squared_error 0.3953144047306248 root_mean_squared_error 0.4319036142419712 root_mean_squared_error 0.3986937994672167 root_mean_squared_error 0.4405154707888172 root_mean_squared_error 0.42273584178388807 root_mean_squared_error 0.40958254598156163 root_mean_squared_error 0.4299109687153704 root_mean_squared_error 0.4041748431720752 root_mean_squared_error 0.4260187237939825 root_mean_squared_error 0.422430054488538 root_relative_squared_error 0.8284472719744737 root_relative_squared_error 0.9051260634392895 root_relative_squared_error 0.8355293573145265 root_relative_squared_error 0.9231736452564298 root_relative_squared_error 0.8859134671056015 root_relative_squared_error 0.8583485418346997 root_relative_squared_error 0.9009501423729942 root_relative_squared_error 0.8470157986142232 root_relative_squared_error 0.8978834388032548 root_relative_squared_error 0.8903199056608515 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 unweighted_recall 0.7248148148148148 [0.82,0.62963] unweighted_recall 0.6422222222222222 [0.84,0.444444] unweighted_recall 0.7162962962962962 [0.84,0.592593] unweighted_recall 0.6537037037037037 [0.9,0.407407] unweighted_recall 0.6807407407407408 [0.88,0.481481] unweighted_recall 0.7618518518518518 [0.82,0.703704] unweighted_recall 0.6622222222222223 [0.88,0.444444] unweighted_recall 0.7377777777777779 [0.92,0.555556] unweighted_recall 0.6792307692307692 [0.82,0.538462] unweighted_recall 0.716923076923077 [0.78,0.653846] usercpu_time_millis 7.754824999999244 usercpu_time_millis 6.504162000002367 usercpu_time_millis 6.734326000003676 usercpu_time_millis 6.4504129999996 usercpu_time_millis 6.959314000003047 usercpu_time_millis 6.458916999999786 usercpu_time_millis 6.492622000003223 usercpu_time_millis 6.550951000001248 usercpu_time_millis 6.375624000000357 usercpu_time_millis 6.453368999999043 usercpu_time_millis_testing 4.446994999998566 usercpu_time_millis_testing 4.0770019999989415 usercpu_time_millis_testing 4.017872000002143 usercpu_time_millis_testing 4.01707600000023 usercpu_time_millis_testing 4.496695000000273 usercpu_time_millis_testing 4.056632000001059 usercpu_time_millis_testing 4.021646000001766 usercpu_time_millis_testing 4.160577000000387 usercpu_time_millis_testing 3.9795380000029468 usercpu_time_millis_testing 3.9997959999986676 usercpu_time_millis_training 3.3078300000006777 usercpu_time_millis_training 2.4271600000034255 usercpu_time_millis_training 2.7164540000015336 usercpu_time_millis_training 2.4333369999993693 usercpu_time_millis_training 2.462619000002775 usercpu_time_millis_training 2.4022849999987272 usercpu_time_millis_training 2.470976000001457 usercpu_time_millis_training 2.390374000000861 usercpu_time_millis_training 2.3960859999974105 usercpu_time_millis_training 2.4535730000003753 wall_clock_time_millis 7.817506790161133 wall_clock_time_millis 6.508350372314453 wall_clock_time_millis 6.833553314208984 wall_clock_time_millis 6.467103958129883 wall_clock_time_millis 6.998538970947266 wall_clock_time_millis 6.464719772338867 wall_clock_time_millis 6.49714469909668 wall_clock_time_millis 6.70313835144043 wall_clock_time_millis 6.392478942871094 wall_clock_time_millis 6.457805633544922 wall_clock_time_millis_testing 4.453420639038086 wall_clock_time_millis_testing 4.081487655639648 wall_clock_time_millis_testing 4.022359848022461 wall_clock_time_millis_testing 4.021883010864258 wall_clock_time_millis_testing 4.534721374511719 wall_clock_time_millis_testing 4.061222076416016 wall_clock_time_millis_testing 4.026174545288086 wall_clock_time_millis_testing 4.311800003051758 wall_clock_time_millis_testing 3.9834976196289062 wall_clock_time_millis_testing 4.0035247802734375 wall_clock_time_millis_training 3.364086151123047 wall_clock_time_millis_training 2.4268627166748047 wall_clock_time_millis_training 2.8111934661865234 wall_clock_time_millis_training 2.445220947265625 wall_clock_time_millis_training 2.463817596435547 wall_clock_time_millis_training 2.4034976959228516 wall_clock_time_millis_training 2.4709701538085938 wall_clock_time_millis_training 2.391338348388672 wall_clock_time_millis_training 2.4089813232421875 wall_clock_time_millis_training 2.4542808532714844 weighted_recall 0.7532467532467533 [0.82,0.62963] weighted_recall 0.7012987012987013 [0.84,0.444444] weighted_recall 0.7532467532467533 [0.84,0.592593] weighted_recall 0.7272727272727273 [0.9,0.407407] weighted_recall 0.7402597402597403 [0.88,0.481481] weighted_recall 0.7792207792207793 [0.82,0.703704] weighted_recall 0.7272727272727273 [0.88,0.444444] weighted_recall 0.7922077922077922 [0.92,0.555556] weighted_recall 0.7236842105263158 [0.82,0.538462] weighted_recall 0.7368421052631579 [0.78,0.653846]